What Has Been The Evolution of the Artificial Intelligence AI In Predictive Toxicology Market in Recent Years?
The artificial intelligence ai in predictive toxicology market has seen considerable growth due to a variety of factors.
• The market size for artificial intelligence (AI) in predictive toxicology has experienced significant expansion in the past few years. The market is projected to flourish from $0.5 billion in 2024 to $0.64 billion in 2025, with a compound annual growth rate (CAGR) of 30.0%.
Factors contributing to this growth during the historical period include rising regulatory pressures for toxicity evaluation, growing alarm over the safety of chemicals, the availability of extensive datasets for model training, escalating costs and ethical issues concerning animal testing, as well as a growing demand for quicker, more cost-efficient toxicity testing methods.
What Is the Forecasted Market Size and Growth Rate for The Artificial Intelligence AI In Predictive Toxicology Market Size In The Coming Years?
The artificial intelligence ai in predictive toxicology market is expected to maintain its strong growth trajectory in upcoming years.
• The predictive toxicology market using artificial intelligence (AI) is projected to experience exceptional growth in the coming years, reaching $1.84 billion by 2029, with an impressive compound annual growth rate (CAGR) of 30.0%.
This projected growth within the forecast period is due to factors such as the advent of explainable AI in toxicology predictions, increasing demand for tailored toxicity assessments, recognition and standardization of AI-based toxicity forecasts by regulatory authorities, a surge in predictive toxicology outsourcing services, and the broadening application scope of AI in drug discovery and development. Key trends within this same period include the transition towards 3D cell culture models for toxicity testing, the emergence of distributed learning methods for shared toxicity prediction, utilization of generative models for projecting chemical toxicity pathways, the adoption of natural language processing to glean toxicity data from the literature, and the flourishing of online screening platforms for prioritizing chemical testing.
What Factors Are Driving Growth In The Artificial Intelligence AI In Predictive Toxicology Market?
The surge in desire for effective and moral drug discovery methods is anticipated to fuel the expansion of the artificial intelligence (AI) in predictive toxicology market. Drug discovery is a complex and fluctuating procedure that requires systematic examination, creation, and testing of chemical mixtures to identify potentially medicinal agents. Meanwhile, effective and moral drug discovery methods necessitate utilizing sophisticated technologies and emphasizing conscientious research techniques to develop novel therapeutic drugs. The push for such drug discovery methods is prompted by the rise in chronic illnesses, the increasing trend towards personalized healthcare, and the growing prevalence of diseases linked to aging. AI in predictive toxicology optimizes drug discovery by efficiently assessing vast data arrays to forecast potential toxicological results, thereby expediting drug creation while adhering to ethical codes. For instance, as per the European Federation of Pharmaceutical Industries and Associations (EFPIA), a Belgium-origin trade association symbolizing the pharmaceutical sector, the overall pharmaceutical R&D spending in Europe reached $49,500 million (€44,500 million) in 2022, a rise of approximately 6.45% from $46,500 million (€42,533 million) in 2021. Consequently, the escalating demand for effective and moral drug discovery methods is propelling the growth of the AI in predictive toxicology market.
What Are The Main Segments Of The Global Artificial Intelligence AI In Predictive Toxicology Market?
The artificial intelligence (AI) in predictive toxicology market covered in this report is segmented –
1) By Component: Solution, Services
2) By Technology: Machine Learning, Natural Language Processing, Computer Vision, Other Technologies
3) By Toxicity Endpoints: Genotoxicity, Hepatotoxicity, Neurotoxicity, Cardiotoxicity, Other Toxicity Endpoints
4) By End User: Pharmaceutical And Biotechnology Companies, Chemical And Cosmetics, Contract Research Organizations, Other End Users
Subsegments:
1) By Solution: Software Platforms, Data Analysis Tools, Predictive Modeling Solutions, Database And Information Systems
2) By Services: Consulting Services, Training And Support Services, Data Management And Integration Services, Research And Development Services
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Which Emerging Market Trends Are Altering The Artificial Intelligence AI In Predictive Toxicology Industry?
Key players in the AI predictive toxicology market are employing strategic partnership methods to bolster market presence and innovation. These partnerships focus on using AI and machine learning to augment the prediction and evaluation of toxicity in chemical compounds and drugs. For example, in January 2024, UK-based AI research and development firm SyntheticGestalt teamed up with Enamine, a Ukraine-based supplier of chemical building blocks and drug discovery services, to design a range of AI models that would aid in the production of synthetically viable biologically active compounds, while optimizing their physical and chemical and ADME or toxicological characteristics. These models will be used in SyntheticGestalt's compound discovery efforts, serving both academic users and pharmaceutical firms through their services. Enamine has rendered its vast Enamine REAL database, which houses 38 billion molecules, accessible. This database will be incorporated by SyntheticGestalt into its Drug Discovery Service, using proprietary AI models to forecast the physical, chemical and ADME or toxic properties of compounds. The service will promptly propose enhanced alternative compounds for those that present issues.
Who Are the Key Players In The Artificial Intelligence AI In Predictive Toxicology Market?
Major companies operating in the artificial intelligence (AI) in predictive toxicology market are:
• Laboratory Corporation of America Holdings (LabCorp)
• Eurofins Scientific SE
• Wuxi AppTec
• Charles River Laboratories International
• Medidata Solutions Inc.
• Certara Inc.
• Schrödinger
• Merative L.P.
• Molecular Devices LLC
• Envigo (Inotiv Inc.)
• Instem plc
• Simulations Plus
• Cyprotex
• Recursion Pharmaceuticals
• Exscientia PLC
• BIOVIA Corporation
• Lhasa Limited
• Chemaxon Ltd.
• Insilico Medicine Inc.
• Algorithme Pharma
• CiToxLAB
• ArisGlobal
• Benevolent AI
• Berg Health
• Cyclica Therapeutics Inc.
• Celsius Therapeutics
• Biovista Inc.
• BioTeam Inc.
What Is The Most Dominant Region In The Artificial Intelligence AI In Predictive Toxicology Market?
North America was the largest region in the artificial intelligence (AI) in predictive toxicology market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in predictive toxicology market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
